81 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" Fellowship positions at University of British Columbia
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this need by fostering the development and productivity of young scientists who have potential to make significant contributions to MS research and help ensure the future and stability of MS research
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The Society offers postdoctoral fellowship grants to unusually promising recipients of M.D., Ph.D. or equivalent degrees when it appears that the program of training to be supported by the grant will enhance the likelihood that the trainee will perform meaningful and independent research...
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record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience in utilizing machine learning libraries such as PyTorch
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creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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. The research group has developed a novel software application called ActionADE that supports the documentation and communication of adverse drug events to providers in other health sectors. The app also supports
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. The research group has developed a novel software application called ActionADE that supports the documentation and communication of adverse drug events to providers in other health sectors. The app also supports
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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enhance provincial capacity to tailor care approaches in response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a
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to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a drive to explore new areas of inquiry critical to transforming the quality